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Interpretable brain age prediction using linear latent variable models of functional connectivity
Neuroimaging-driven prediction of brain age, defined as the predicted biological age of a subject using only brain imaging data, is an exciting avenue of research. In this work we seek to build models of brain age based on functional connectivity while prioritizing model interpretability and underst...
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| Publicado no: | PLoS One |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7286502/ https://ncbi.nlm.nih.gov/pubmed/32520931 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0232296 |
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